Ismail, Z., Ismail, N., Hamza, Z. (2021). Productivity Modeling of Collect-Packing Machine for Garden-Residues. Journal of Soil Sciences and Agricultural Engineering, 12(3), 179-183. doi: 10.21608/jssae.2021.160422
Z. E. Ismail; N. K. Ismail; Z. S. Hamza. "Productivity Modeling of Collect-Packing Machine for Garden-Residues". Journal of Soil Sciences and Agricultural Engineering, 12, 3, 2021, 179-183. doi: 10.21608/jssae.2021.160422
Ismail, Z., Ismail, N., Hamza, Z. (2021). 'Productivity Modeling of Collect-Packing Machine for Garden-Residues', Journal of Soil Sciences and Agricultural Engineering, 12(3), pp. 179-183. doi: 10.21608/jssae.2021.160422
Ismail, Z., Ismail, N., Hamza, Z. Productivity Modeling of Collect-Packing Machine for Garden-Residues. Journal of Soil Sciences and Agricultural Engineering, 2021; 12(3): 179-183. doi: 10.21608/jssae.2021.160422
Productivity Modeling of Collect-Packing Machine for Garden-Residues
3Agric. Eng. Dept., Fac. of Agric., Mansoura Univ.
Abstract
The collecting of garden-residues (leaves, seeds, flowers, ... etc.) using a modest machines is not done as a completely mechanization operations. For these reasons, the aim of this work was identified to constructive, confirm and investigate a machine to collect and packing the garden residues, which included two main units, the collecting and delivery units. The variable parameters comprise revolutions of blower "RB" (1000; 1700; 2400 and 3100rpm) and delivery tube diameter "DTD" (10; 15 and 20cm) under two residues moisture contents "RMC" of 14% (free dropped) and 64% (forced dropped). The performance of collect-packing machine “CPM” were done by identifying residues bulk density "BD" at go out moment and rate of residues volume reduction "RV", machine productivity "RP" and specific energy consumed "SEC". Then the regression modeling was identified as combine relationship among studied variables. The results concluded that the “CPM” is suitable for collecting free and forced dropped garden residues. The best level of the “RB” and “DTD” are 3100 rpm and 15 cm under 14% “RMC” and 3100 rpm and 20 cm for 64% “RMC” respectively. At “RMC” of 14%, the highest “BD”, “RV”, and “RP” are 45.3kg m-3, 29.22% and 257.26 kg h-1 respectively at lowest “SEC” of 0.196 kW h Mg-1. The corresponding values at “RMC” of 64% were 32.32 kg m-3, 88.01%, and 294.79 kg h-1 at “SEC” of 0.251 kW h Mg-1 respectively. The regression modeling has a strong relation to describe the effect of studied variables under different machine performance.
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